id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-129527-dzkrar2t	Zhou, Weiyi	An Interstate Trips Analysis during COVID-19 in the United States	2020-07-04		.txt	text/plain	3513	187	54	Then, with repeated measures ANOVA and post-hoc analysis, we discern different time-course patterns of between-state population flow by pandemic severity groups. Third, the high-, middle-, and low-severity states are compared to show the time course changes of interstate trips through Repeated Measures ANOVA and post-hoc analysis. We also conduct a more detailed analysis of interstate trips at the origin-destination level between states, as shown in Fig. 2 , with states in both axis ordered by the cumulative cases by April 6 (when all states announced stay-in-home orders) in ascending sequence. The daily Spearman correlation coefficient between percentage change of inflow interstate trips and cumulative cases per 1,000 people (defined as the indicator of pandemic severity) of all 50 states and the District of Columbia shows interesting time-course changes (Fig. 3) . With repeated measures one-way ANOVA and post hoc analysis, we investigate the course of interstate trip variations by pandemic severity groups.	./cache/cord-129527-dzkrar2t.txt	./txt/cord-129527-dzkrar2t.txt